Two-dimensional fractional Brownian motion: Analysis in time and frequency domains

Fuente: arXiv
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Auteurs principaux: Balcerek, Michał, Pacheco-Pozo, Adrian, Wyłomańska, Agnieszka, Burnecki, Krzysztof, Krapf, Diego
Format: Preprint
Publié: 2025
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author Balcerek, Michał
Pacheco-Pozo, Adrian
Wyłomańska, Agnieszka
Burnecki, Krzysztof
Krapf, Diego
author_facet Balcerek, Michał
Pacheco-Pozo, Adrian
Wyłomańska, Agnieszka
Burnecki, Krzysztof
Krapf, Diego
contents This article introduces a novel construction of the two-dimensional fractional Brownian motion (2D fBm) with dependent components. Unlike similar models discussed in the literature, our approach uniquely accommodates the full range of model parameters and explicitly incorporates cross-dependencies and anisotropic scaling through a matrix-valued Hurst operator. We thoroughly analyze the theoretical properties of the proposed causal and well-balanced 2D fBm versions, deriving their auto- and cross-covariance structures in both time and frequency domains. In particular, we present the power spectral density of these processes and their increments. Our analytical findings are validated with numerical simulations. This work provides a comprehensive framework for modeling anomalous diffusion phenomena in multidimensional systems where component interdependencies are crucial.
format Preprint
id arxiv_https___arxiv_org_abs_2509_07537
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Two-dimensional fractional Brownian motion: Analysis in time and frequency domains
Balcerek, Michał
Pacheco-Pozo, Adrian
Wyłomańska, Agnieszka
Burnecki, Krzysztof
Krapf, Diego
Probability
Statistical Mechanics
This article introduces a novel construction of the two-dimensional fractional Brownian motion (2D fBm) with dependent components. Unlike similar models discussed in the literature, our approach uniquely accommodates the full range of model parameters and explicitly incorporates cross-dependencies and anisotropic scaling through a matrix-valued Hurst operator. We thoroughly analyze the theoretical properties of the proposed causal and well-balanced 2D fBm versions, deriving their auto- and cross-covariance structures in both time and frequency domains. In particular, we present the power spectral density of these processes and their increments. Our analytical findings are validated with numerical simulations. This work provides a comprehensive framework for modeling anomalous diffusion phenomena in multidimensional systems where component interdependencies are crucial.
title Two-dimensional fractional Brownian motion: Analysis in time and frequency domains
topic Probability
Statistical Mechanics
url https://arxiv.org/abs/2509.07537